JS-AUP17FG-1 is a low-power, cost-efficient GNSS antenna-integrated module supporting simultaneous GPS, GLONASS, Galileo, and BeiDou L1 reception. With high sensitivity, fast acquisition, and Super-S signal processing, it enhances positioning reliability in urban and NLOS environments while providing jamming and spoofing detection with robust RFI mitigation.
Product Features
Build on high-performance GNSS Chips
Cold start acquisition sensitivity of-148dBm and -166dBm tracking sensitivity
Up to 10 Hz navigation update rate
Supports BDS,GPS, QZSS, SBAS,GLONASS,Galileo
Supports A-GNSS
Integrated TCXO, LNA, SAW, RTC
Compact size(22.0mmx22.0mmx 7.8mm±0.3mm) suitable for space-sensitive application
Support standard NMEA 0183, UBX
Performance
| Parameter | Specification |
| Receiver type | GPS/QZSS L1C/A SBAS EGNOS, GAGAN, MSAS and WAAS GLONASS L1OF BDS B1I,B1C Galileo E1B/C |
| Sensitivity | Tracking & Navigation: -166dBm |
| Reacquisition: -160dBm | |
| Hot Start: -160dBm | |
| Cold Start: -148dBm | |
| Time-To-First-Fix | Cold Start: 29 s |
| Hot Start: 1 s | |
| Horizontal Position accuracy | Autonomous: 2.0 m CEP |
| SBAS: 1.5 m CEP | |
| Accuracy of time pulse signal | RMS: 30 ns |
| 99%: 60 ns | |
| Velocity accuracy | 0.05 m/s |
| Dynamic heading accuracy | 0.3 deg |
| Operational limits | Dynamics: ≤ 4 g |
| Altitude: 80000 m | |
| Velocity: 500 m/s | |
| Frequency of time pulse signal | Default 1PPS (0.25 Hz to 10 MHz configurable) |
| Baud Rate | 9,600 -- 921600 bps (Default 38400 bps) |
| Max navigation update rate | 10 Hz (Default 1Hz, configurable) |
Pin Parameters
| No. | Name | I/O | Description |
| 1 | SCL | I/O | I2C Clock (keep open if not used) |
| 2 | SDA | I/O | I2C Data (keep open if not used) |
| 3 | TXD | O | TTL Output |
| 4 | RXD | I | TTL Input |
| 5 | GND | G | Ground |
| 6 | VCC | P | Main Supply |
Product Application
Automotive applications
Intelligent robots
Marine navigation, Fleet management
Formation drones
Intelligent logistics scheduling
Personal travel and wildemess adventure
Urban intelligent traffic management
Emergency survival